CN109835280B - System for displaying vehicle state and driving behavior through voice recognition and vehicle - Google Patents
System for displaying vehicle state and driving behavior through voice recognition and vehicle Download PDFInfo
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Abstract
The utility model discloses a system and vehicle through speech recognition display vehicle state and driving behavior, its system includes: a voice module: the voice command acquisition module is used for acquiring a voice command of a user; a display module: for displaying vehicle and user behavior information; a data acquisition module: for collecting vehicle or user information; further comprising: the big data module is connected with the voice module, the display module and the data acquisition module; the big data module is used for acquiring the data collected by the data acquisition module according to the instruction of the voice module, performing statistical analysis on the acquired data to form an analysis report and displaying the analysis report on the display module; the big data module is provided with an application software access interface, and the big data module is connected with the application software through the application software access interface to realize information intercommunication sharing and can share the analysis report on the application software. The method and the device are simple and convenient to operate, powerful in function, good in interactivity and strong in sharing performance.
Description
Technical Field
The disclosure relates to an intelligent vehicle-mounted terminal system and a vehicle with the same, in particular to a system and a vehicle for displaying vehicle states and driving behaviors through voice recognition.
Background
Many related techniques for assisting driving have been proposed, which include detecting a driving state of a vehicle and/or a state of a driver and issuing a warning or a prompt to the driver according to the detected state. Most vehicles display the running state of the vehicle, navigation and other services to users through a vehicle-mounted terminal screen. However, for the driver, it is unsafe to view or touch the screen of the vehicle-mounted terminal during driving, which is easy to distract the driver and causes traffic safety accidents. In addition, the vehicle terminal screen only displays the collected state information of the vehicle or the driver, and the data cannot be integrally analyzed to form a similar statistical analysis report for the driver to refer to and share.
The utility model, with the patent number of 201520627248.0 and the patent name of 'a driving safety reminding system', discloses a driving safety reminding system, which comprises a vehicle-mounted terminal and a remote server, wherein the vehicle-mounted terminal comprises a processor module, a camera module, a wireless communication module, a data acquisition module, an acceleration sensor module and a voice module; the camera module, the wireless communication module, the data acquisition module, the acceleration sensor module and the voice module are respectively connected with the processor module; the camera module is used for collecting driving image information of a driver; the acceleration sensor module is used for acquiring acceleration information or braking acceleration information when the vehicle runs; the data acquisition module is connected to a CAN bus of the vehicle and used for acquiring data information of the CAN bus; the vehicle-mounted terminal is in communication connection with the remote server through the wireless communication module. The utility model effectively improves the driving habit of the automobile driver and improves the driving safety. A driving safety reminding system is characterized by comprising a vehicle-mounted terminal and a remote server, wherein the vehicle-mounted terminal comprises a processor module, a camera module, a wireless communication module, a data acquisition module, an acceleration sensor module and a voice module; the camera module, the wireless communication module, the data acquisition module, the acceleration sensor module and the voice module are respectively connected with the processor module; the camera module is used for collecting driving image information of a driver; the acceleration sensor module is used for acquiring acceleration information or braking acceleration information when the vehicle runs; the data acquisition module is connected to a CAN bus of the vehicle and used for acquiring data information of the CAN bus; the vehicle-mounted terminal is in communication connection with the remote server through the wireless communication module and performs data interaction; the voice module comprises a loudspeaker, a microphone and a voice recognition chip, and is used for collecting voice information of a driver and broadcasting driving prompt information issued by the remote server. This patent mainly lies in judging whether the driver has the action of driving of the unnormalization and in time through voice broadcast through gathering vehicle real-time data. The patent can not trigger corresponding data acquisition and sorting analysis functions through the voice instruction of a driver, and the data acquisition and sorting analysis functions are displayed and shared on a vehicle.
Disclosure of Invention
The purpose of the present disclosure is to provide a system and a vehicle capable of triggering corresponding data acquisition and sorting analysis functions through a voice command of a driver and displaying a vehicle state and a driving behavior through vehicle-mounted display and sharing.
In order to solve the technical problem, the present disclosure provides the following technical solutions:
a system for displaying vehicle status and driving behavior through speech recognition, comprising:
a voice module: the voice command acquisition module is used for acquiring a voice command of a user;
a display module: for displaying vehicle and user behavior information;
a data acquisition module: for collecting vehicle or user information;
it is characterized by also comprising:
a big data module connected with the voice module, the display module and the data acquisition module,
the big data module is used for acquiring the data collected by the data acquisition module according to the instruction of the voice module, performing statistical analysis on the acquired data to form an analysis report and displaying the analysis report on the display module;
the big data module is provided with an application software access interface, and the big data module is connected with the application software through the application software access interface to realize information intercommunication sharing and can share the analysis report on the application software.
The data acquisition module is a whole vehicle data acquisition module or a whole vehicle data server;
the whole vehicle data acquisition module is connected with a CAN bus of a vehicle and is used for acquiring vehicle data information on the CAN bus;
the whole vehicle data server stores vehicle data information, vehicle maintenance information, user driving behavior information and user driving habit information.
The vehicle maintenance information is fault maintenance information about the vehicle uploaded to the whole vehicle data server by a 4S shop;
the user driving habit information comprises driving route information which is uploaded to the whole vehicle data server by a navigation system and is about vehicles.
And the big data module filters the formed analysis report content according to the instruction of the voice module, removes the content which the user does not want to share, forms a new sharable analysis report and shares the new sharable analysis report on application software.
The application software access interface is specifically an API interface.
And the big data module is connected with the whole vehicle data server through the vehicle-mounted network.
The speech module further comprises the following elements:
the voice acquisition unit: the voice signal acquisition device is used for acquiring a voice signal of a user;
A voice preprocessing unit: the voice signal preprocessing module is used for preprocessing the acquired voice signals;
a voice recognition unit: and the voice processing device is used for decoding and identifying the preprocessed voice signals to obtain the character instruction information corresponding to the voice signals.
And the voice recognition unit extracts the features of the preprocessed voice signals, matches the extracted voice features with a voice library, and obtains character instruction information corresponding to the voice signals through matching.
The voice library is a local voice library which is connected with the voice recognition unit;
the local voice library is pre-stored with an offline 'voice model' and a 'voice model', and the voice recognition unit converts voice signals into corresponding character instruction information according to the offline 'voice model' and the 'voice model' after extracting the characteristics of the pre-processed voice signals.
The voice library is an online voice library, the online voice library is a voice recognition background server connected with the voice recognition unit, an online acoustic model and a voice model are prestored in the voice recognition background server, the voice recognition unit extracts the characteristics of a preprocessed voice signal and uploads the extracted voice characteristics to the voice recognition background server, and the voice recognition background server matches the extracted voice characteristics with the model according to the online acoustic model and the voice model so as to acquire character instruction information corresponding to the voice characteristics and send the character instruction information back to the voice recognition unit.
The disclosure also relates to a vehicle comprising a system for displaying vehicle status and driving behaviour by speech recognition.
Compared with the prior art, the method has the following beneficial effects:
the method and the device are simple and convenient to operate, powerful in function, good in interactivity and strong in shareability. According to the road traffic accident monitoring system, the big data module can be started through the voice module to perform data statistics and analysis on the related vehicle states and user behaviors, the data statistics and analysis are displayed on the display module, the phenomenon that a driver triggers the road traffic accident through a manual key is avoided, the data analysis report can be shared to other application software, and the road traffic accident monitoring system has good sharing interactivity.
Drawings
FIG. 1 is a schematic block diagram illustrating a system for displaying vehicle status and driving behavior via speech recognition according to the present disclosure;
FIG. 2 is a flowchart illustrating operation of the speech module of the system for displaying vehicle status and driving behavior through speech recognition according to the present disclosure.
Detailed Description
Reference will now be made in detail to the embodiments of the present disclosure, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
As shown in fig. 1, a system for displaying a vehicle state and a driving behavior through voice recognition includes: the device comprises a voice module, a display module, a data acquisition module and a big data module. And the big data module is respectively connected with the voice module, the display module and the data acquisition module.
The voice module is used for collecting voice instructions of a user.
The speech module further comprises the following elements:
the voice acquisition unit: for collecting the voice signal of the user. Specifically, the voice collecting unit may be a microphone, and collects a voice signal of the user and converts an audio signal into an electrical signal.
A voice preprocessing unit: for preprocessing the acquired speech signals. The collected voice signals are preprocessed mainly by breakpoint monitoring, noise reduction and the like. Wherein the breakpoint monitor is mainly used to remove unnecessary silence and non-speech sounds.
A voice recognition unit: and the voice processing device is used for decoding and identifying the preprocessed voice signals to obtain the character instruction information corresponding to the voice signals. Specifically, the voice recognition unit performs feature extraction on the preprocessed voice signal, matches the extracted voice feature with a voice library, and obtains the text instruction information corresponding to the voice signal through matching. The voice library can be a local voice library or an online voice library.
And when the voice library is a local voice library, the local voice library is arranged in the voice module and is connected with the voice recognition unit. The local voice library is pre-stored with an offline 'voice model' and a 'voice model', and after the voice recognition unit extracts the characteristics of the preprocessed voice signal, the voice recognition unit matches the extracted voice characteristics with the model according to the offline 'voice model' and the 'voice model' so as to convert the voice signal into corresponding character instruction information.
When the voice library is an online voice library, the online voice library is a voice recognition background server connected with the voice recognition unit, an online acoustic model and a voice model are prestored in the voice recognition background server, the voice recognition unit extracts the characteristics of the preprocessed voice signals and uploads the extracted voice characteristics to the voice recognition background server, and the voice recognition background server matches the extracted voice characteristics with the model according to the online acoustic model and the voice model so as to acquire character instruction information corresponding to the voice characteristics and send the character instruction information back to the voice recognition unit. The speech recognition unit can be connected to a speech recognition background server only if the vehicle has a network. Because the speech recognition background server stores massive 'sound models' and 'speech models', the accuracy of speech recognition can be improved through the speech recognition background server.
The above-mentioned "acoustic model" mainly functions to match and compare the input speech features with the acoustic model, and thus the best recognition result is obtained. The voice model is pre-stored with a database of correspondence between voice characteristics and characters, and the characters corresponding to the voice characteristics are searched for through the input voice characteristics, that is, the voice characteristics are converted into character characteristics. The voice model is a voice network formed by recognizing voice commands or a voice model formed by a statistical method, specifically, the character features input by the voice model are processed to recognize the meaning represented by the character features, namely, the character instruction information.
As shown in fig. 2, the speech module is essentially a pattern recognition module, which includes several parts, such as feature extraction, reference to a pattern library, and pattern matching. After the voice signal of the user voice is converted into a voice electric signal through a microphone, the voice signal is preprocessed through a voice preprocessing unit, a voice recognition unit extracts the characteristics of the preprocessed voice signal and carries out statistical pattern recognition (also called decoding) on the feature vector of the user speaking by using a trained acoustic model and a trained voice model to obtain the character instruction information contained in the voice signal. If the vehicle has a network, the voice recognition unit uploads the extracted voice features to the voice recognition background server through the network, so that the recognition accuracy is increased, and the voice recognition background server transmits the words subjected to semantic analysis back to the voice recognition unit.
The big data module can be started through the voice module to perform data statistical analysis on the related vehicle states and user behaviors and display the data on the display module, so that the road traffic accidents caused by the fact that a driver triggers through a manual key are avoided.
The display module is used for displaying the vehicle and the user behavior information. The display module can be a vehicle-mounted display device such as a vehicle-mounted multimedia device, a vehicle-mounted central control display screen and the like, and can also be a mobile terminal connected with a vehicle in a communication manner and the like.
A data acquisition module: for collecting vehicle or user information. The data acquisition module is a whole vehicle data acquisition module or a whole vehicle data server. The whole vehicle data acquisition module is connected with a CAN bus of the vehicle and is used for acquiring vehicle data information on the CAN bus. And the whole vehicle data acquisition module acquires and stores data information on the CAN bus according to a certain communication protocol. More specifically, the whole vehicle data acquisition module mainly acquires CAN information of each ECU of the whole vehicle, including but not limited to engine speed, motor speed, brake pedal, battery, oil consumption, mileage, air conditioner, vehicle door and other information. The whole vehicle data acquisition module can transmit acquired data to the big data module in a USB line mode and the like. The whole vehicle data acquisition module can also upload acquired data to a whole vehicle data server through a vehicle-mounted network.
The whole vehicle data server stores vehicle data information, vehicle maintenance information, user driving behavior information, user driving habit information and the like. The vehicle maintenance information is fault maintenance and service information about the vehicle uploaded to the whole vehicle data server by the 4S shop. The user driving habit information comprises driving route information which is uploaded to the whole vehicle data server by a navigation system and relates to the vehicle. And the big data module calls data in the whole vehicle data server according to the instruction of the voice module to perform statistical analysis to form an analysis report and display the analysis report. And the big data module is connected with the whole vehicle data server through the vehicle-mounted network. The information contained in the whole vehicle data server is not limited to the vehicle information uploaded by the whole vehicle data acquisition module. The system also comprises maintenance and repair information uploaded by the 4S shop and aiming at the vehicle, driving path information uploaded by vehicle navigation software, driving behaviors uploaded by users and other information. Through comprehensive information on the whole vehicle data server, the big data module can provide a comprehensive data analysis report. The system can be shared by users, and can also be shared to a 4S shop to timely know the relevant problems of the vehicle and make corresponding maintenance and repair preparation in advance.
And the big data module is used for acquiring the data of the data acquisition module according to the instruction of the voice module, performing statistical analysis on the acquired data to form an analysis report and displaying the analysis report on the display module. The big data module is provided with an application software access interface, and the big data module is connected with the application software through the application software access interface to realize information intercommunication sharing and can share the analysis report on the application software. The specific application software access interface is an API interface.
The big data module can be independent vehicle analysis application software, and the big data module is designed with a relevant operation interface to support a sharing function. The data acquisition module can acquire real-time vehicle data, previous related vehicle data or related information of a user, the acquired data relate to various electric appliances of the whole vehicle, various parts and behavior and habit information of the user, and the data acquired by the big data module through the data acquisition module have the characteristics of time persistence, wide related range and the like, so that the big data module can form and display various analysis reports according to the data analysis strategy of the big data module. The analysis report forms are various, including a chart type and the like. For example, vehicle fuel/power consumption over a certain date, total mileage driven over a certain date by the vehicle, usage time and remaining service life of a certain component of the vehicle, failure problems and suggested solutions, vehicle route information of the user, and the like. While obtaining the data analysis reports, the user can share the data analysis reports to other third-party application software connected with the big data module, such as social software, chat software and the like.
Preferably, the big data module can also filter the content of the formed analysis report according to the instruction of the voice module, remove the content which the user does not want to share, form a new sharable analysis report and share the new sharable analysis report on the application software. An analysis report formed by the big data module according to user instruction information can be consulted and referred by a user, but partial information in the information may relate to personal private information, such as a common route and the like, and the partial information is only referred by the user but is inconvenient to share. Therefore, based on the safety and the selectivity of the shared information, when the analysis report formed by the big data module is shared by other application software, the content of the formed analysis report can be selected in a filtering manner according to the voice or other form instructions of the user, the content which the user does not want to share is deleted, a new sharable analysis report is formed, and the new sharable analysis report is shared by other application software.
The workflow of the system of the present disclosure is illustrated by the following specific embodiments:
the user triggers the big data module to start through microphone voice, and speaks out specific or self-defined voice awakening words through the microphone, for example, "how many kilometers did you run in 20XX year, X month and X day, how much oil you used", the voice module collects voice signals, preprocesses the voice signals, converts the voice signals into corresponding text instruction signals, and sends the corresponding text instruction signals to the big data module. The big data module calls required data from the whole vehicle data acquisition module or the whole vehicle data server according to the instruction information transmitted by the voice module, analyzes the data into a result and displays the result to generate a corresponding icon report. Meanwhile, related sharing can be performed on third-party application software through sharing.
The present disclosure also relates to a vehicle including the system for displaying vehicle state and driving behavior through speech recognition according to the present disclosure. And will not be described herein.
The method and the device are simple and convenient to operate, powerful in function, good in interactivity and strong in sharing performance. According to the method, the big data module can be started through the voice module to perform data statistical analysis on the related vehicle states and the user behaviors and display the data statistical analysis on the display module, so that the phenomenon that a driver triggers a road traffic accident through a manual key is avoided, and a data analysis report can be shared to other application software.
While embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present disclosure, and that changes, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present disclosure.
Claims (10)
1. A system for displaying vehicle status and driving behavior through speech recognition, comprising:
a voice module: the voice command acquisition module is used for acquiring a voice command of a user;
a display module: for displaying vehicle and user behavior information;
a data acquisition module: for collecting vehicle or user information;
it is characterized by also comprising:
A big data module connected with the voice module, the display module and the data acquisition module,
the big data module is used for acquiring the data collected by the data acquisition module according to the instruction of the voice module, performing statistical analysis on the acquired data to form an analysis report and displaying the analysis report on the display module;
the big data module is provided with an application software access interface, and the big data module is connected with application software through the application software access interface to realize information intercommunication sharing and can share an analysis report on the application software;
and the big data module filters the formed analysis report content according to the instruction of the voice module, removes the content which the user does not want to share, forms a new sharable analysis report and shares the new sharable analysis report on application software.
2. The system for displaying a vehicle state and a driving behavior through voice recognition according to claim 1, wherein:
the data acquisition module is a whole vehicle data acquisition module or a whole vehicle data server;
the whole vehicle data acquisition module is connected with a CAN bus of a vehicle and is used for acquiring vehicle data information on the CAN bus;
the whole vehicle data server stores vehicle data information, vehicle maintenance information, user driving behavior information and user driving habit information.
3. The system for displaying vehicle status and driving behavior through voice recognition according to claim 2, wherein:
the vehicle maintenance information is fault maintenance information about the vehicle uploaded to the whole vehicle data server by a 4S shop;
the user driving habit information comprises driving route information which is uploaded to the whole vehicle data server by a navigation system and is related to the vehicle.
4. The system for displaying vehicle status and driving behavior through voice recognition according to claim 1, wherein: the application software access interface is specifically an API interface.
5. The system for displaying a vehicle state and a driving behavior through voice recognition according to claim 2, further comprising:
and the big data module is connected with the whole vehicle data server through the vehicle-mounted network.
6. The system for displaying a vehicle state and a driving behavior through voice recognition according to claim 1, wherein:
the speech module further comprises the following elements:
the voice acquisition unit: the voice signal acquisition module is used for acquiring a voice signal of a user;
a voice preprocessing unit: the voice signal preprocessing module is used for preprocessing the acquired voice signal;
A voice recognition unit: and the voice processing device is used for decoding and identifying the preprocessed voice signals to obtain the character instruction information corresponding to the voice signals.
7. The system for displaying vehicle status and driving behavior through speech recognition according to claim 6, wherein:
and the voice recognition unit is used for extracting the characteristics of the preprocessed voice signals, matching the extracted voice characteristics with a voice library and obtaining the character instruction information corresponding to the voice signals through matching.
8. The system for displaying vehicle status and driving behavior through speech recognition according to claim 7, wherein:
the voice library is a local voice library which is connected with the voice recognition unit;
the local voice library is pre-stored with an offline 'voice model' and a 'voice model', and the voice recognition unit converts voice signals into corresponding character instruction information according to the offline 'voice model' and the 'voice model' after extracting the characteristics of the pre-processed voice signals.
9. The system for displaying vehicle status and driving behavior through voice recognition according to claim 7, wherein:
the voice library is an online voice library, the online voice library is a voice recognition background server connected with the voice recognition unit, an online acoustic model and a voice model are prestored in the voice recognition background server, the voice recognition unit extracts the characteristics of a preprocessed voice signal and uploads the extracted voice characteristics to the voice recognition background server, and the voice recognition background server matches the extracted voice characteristics with the model according to the online acoustic model and the online voice model so as to acquire character instruction information corresponding to the voice characteristics and return the character instruction information to the voice recognition unit.
10. A vehicle, characterized in that: a system comprising a system for displaying vehicle status and driving behavior by speech recognition according to any one of claims 1 to 9.
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| JP5972372B2 (en) * | 2012-06-25 | 2016-08-17 | 三菱電機株式会社 | Car information system |
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